Abstract:The Adaptive Fractional Lower order Covariance (AFLC) time delay estimation method performs robust under impulsive noise environments, but the values of parameters a and b have effects on estimated precision. According to the non-stationary property of noises, this paper proposes a dynamic parameter estimation method and further proposes a Modified Adaptive Fractional Lower order Covariance (M-AFLC) method. Computer simulation indicates that the iterative parameter estimation method performs well under both stationaiy and non-stationary noise conditions. It also shows that the M-AFLC maintains the merits of the AFLC, and at the same time the proposed method avoids the degradation of AFLC while the restriction unsatisfied.
孙永梅; 邱天爽. 脉冲噪声环境下的自适应时间延迟估计新方法[J]. 电子与信息学报, 2005, 27(5): 740-744 .
Sun Yong-mei; Qiu Tian-shuang. A New Method of Adaptive Time Delay Estimation in Impulsive Noise Environments. , 2005, 27(5): 740-744 .